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time-series-classification

Here are 59 public repositories matching this topic...

sktime

alan-turing-institute / sktime

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Extend NaiveForecaster

mloning commented Feb 5, 2020

Extend NaiveForecaster to include all common naive forecasting strategies. For an overview, see this chapter.

introduce seasonal as boolean kwarg, refactor "seasonal_last" and implement "seasonal_mean", so that we can set seasonal=True and strategy="mean" for example
add "drift" strategy, the forecasts should be

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feature request good first issue implementing algorithms

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Extend Tabularizer to TimeBinner

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Refactoring transformers/spectral_based

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tslearn-team / tslearn

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Refactor common tests in tslearn/tslearn/tests/test_estimators.py

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rth commented Mar 5, 2020

Currently tslearn/tests/test_estimators.py redefine a custom check_estimator and then monkeypatch some of the tests in sklearn.utils.estimator_checks to work with time series data.

In the latest version scikit-learn introduced parametrize_with_checks which should allow to simplify this quite a bit https://scikit-learn.org/stable/developers/develop.html#rolling-your-own-estimator (e.g. a

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new feature

hfawaz / dl-4-tsc

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Deep Learning for Time Series Classification

review deep-neural-networks deep-learning convolutional-neural-networks research-paper time-series-classification empirical-research

Updated Apr 6, 2020
Python

Alro10 / deep-learning-time-series

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List of papers, code and experiments using deep learning for time series forecasting

deep-neural-networks deep-learning time-series tensorflow prediction python3 pytorch recurrent-neural-networks lstm series-analysis forecasting-models lstm-neural-networks demand-forecasting series-forecasting sales-forecasting time-series-classification time-series-prediction time-series-forecasting series-classification forecasting-competitions

Updated Jul 13, 2020
Jupyter Notebook

curiousily / Deep-Learning-For-Hackers

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Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

python machine-learning deep-learning sentiment-analysis tensorflow keras artificial-intelligence neural-networks object-detection jupyter-notebooks autoencoders tensorflow-tutorial bert image-augmentation anomaly-detection time-series-classification time-series-forecasting lstms intent-recognition

Updated Apr 23, 2020
Jupyter Notebook

vlawhern / arl-eegmodels

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This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

deep-learning tensorflow keras eeg convolutional-neural-networks brain-computer-interface event-related-potentials time-series-classification eeg-classification sensory-motor-rhythm

Updated May 13, 2019
Python

timeseriesAI / timeseriesAI

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Practical Deep Learning for Time Series / Sequential Data library based on fastai v2/ Pytorch

timeseries deep-learning time-series pytorch rocket sequential tsc fastai sequential-data time-series-classification state-of-the-art time-series-regression

Updated May 1, 2020
Jupyter Notebook

hfawaz / bigdata18

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Transfer learning for time series classification

deep-neural-networks deep-learning dtw transfer-learning research-paper dynamic-time-warping time-series-analysis time-series-classification

Updated Jun 6, 2019
Python

hfawaz / InceptionTime

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InceptionTime: Finding AlexNet for Time Series Classification

scalable deep-learning neural-networks alexnet inception inceptionv3 time-series-analysis time-series-classification

Updated May 20, 2020
Python

sktime / sktime-dl

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CNTC Implementation

James-Large commented Feb 26, 2020

Good candidate for implementation of the title network, and some other referenced networks

Paper: https://www.sciencedirect.com/science/article/pii/S0925231219316364

Code: https://github.com/AmaduFullah/CNTC_MODEL

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good first issue implementing algorithms

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Examples/documentation

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White-Link / UnsupervisedScalableRepresentationLearningTimeSeries

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Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

machine-learning deep-learning time-series pytorch neural-networks triplet-loss time-series-classification neurips-2019

Updated May 13, 2020
Jupyter Notebook

hfawaz / aaltd18

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Data augmentation using synthetic data for time series classification with deep residual networks

deep-learning dtw convolutional-neural-networks dynamic-time-warping data-augmentation time-series-classification

Updated Oct 11, 2018
Python

FilippoMB / Reservoir-Computing-framework-for-multivariate-time-series-classification

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Library for implementing multivariate time series classifiers based on reservoir computing (echo state network)

machine-learning-algorithms reservoir-computing time-series-classification

Updated Jul 4, 2020
Python

hfawaz / ijcnn19ensemble

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Deep Neural Network Ensembles for Time Series Classification

deep-neural-networks deep-learning ensemble time-series-classification

Updated Jul 10, 2019
Python

PetoLau / TSrepr

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TSrepr: R package for time series representations

data-science data-mining r time-series data-analysis representation r-package data-mining-algorithms time-series-analysis time-series-clustering time-series-classification time-series-data-mining time-series-representations

Updated Jul 12, 2020
R

angus924 / rocket

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ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

scalable random convolution convolutional-neural-network time-series-classification convolutional-kernel

Updated Jul 14, 2020
Python

filippogiruzzi / voice_activity_detection

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Voice Activity Detection based on Deep Learning & TensorFlow

python machine-learning deep-neural-networks deep-learning time-series tensorflow speech artificial-intelligence speech-recognition vad resnet deeplearning time-series-classification voice-activity-detection librispeech speech-detection librispeech-dataset mfcc-features

Updated Apr 14, 2020
Python

Geocene / TRAINSET

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A very lightweight web application for brushing labels onto time series data; useful for building training sets.

machine-learning labeling painting brushing labeling-tool time-series-classification training-data

Updated Jun 6, 2020
Vue

BGU-CS-VIL / dtan

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Official TensorFlow\Keras implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. PyTorch supprot Coming soon.

deep-learning time-series tensorflow alignment ucr time-series-classification temporal-transformer

Updated Jun 17, 2020
Python

hfawaz / ijcnn19attacks

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Adversarial Attacks on Deep Neural Networks for Time Series Classification

deep-neural-networks deep-learning time-series-classification adversarial-examples adversarial-attacks

Updated Jul 2, 2020
Jupyter Notebook

VSainteuf / pytorch-psetae

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PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

machine-learning computer-vision deep-learning agriculture pytorch remote-sensing cvpr spatio-temporal earth-observation time-series-classification self-attention transformer-architecture satellite-image cvpr2020

Updated Mar 30, 2020
Python

BFergerson / Chronetic

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Analyzes chronological patterns present in time-series data and provides human-readable descriptions

influxdb time-series time-series-analysis time-series-classification

Updated May 22, 2018
Java

murali1996 / ts_classification_prediction

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Different deep learning architectures are implemented for time series classification and prediction purposes.

deep-learning tensorflow keras python3 spyder nueral-networks time-series-clustering time-series-classification time-series-prediction

Updated Nov 9, 2019
Python

bhattbhavesh91 / time_series_notebooks

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My Experiments with Time Series

time-series-analysis time-series-classification time-series-forecasting

Updated Oct 14, 2019
Jupyter Notebook

BorgwardtLab / WTK

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A Wasserstein Subsequence Kernel for Time Series.

machine-learning data-mining optimal-transport time-series-classification

Updated Jan 4, 2020
Python

AziziShekoofeh / Time-series-Classification

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Classification of Time-series data with RNN

recurrent-neural-networks series-data rnn-tensorflow keras-classification-models time-series-classification series-classification keras-rnn lstm-keras prostate-cancer-detection

Updated Dec 25, 2019
Python

hfawaz / miccai18

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Evaluating surgical skills from kinematic data using convolutional neural networks

data-science deep-learning cnn research-paper cnn-keras surgery surgical class-activation-maps time-series-classification

Updated Nov 10, 2018
Jupyter Notebook

hfawaz / DreamTime

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InceptionTime: Finding AlexNet for Time Series Classification

deep-learning neural-networks alexnet inception research-paper time-series-analysis time-series-classification inception-architecture

Updated Sep 16, 2019

davidemiani / hgdecode

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Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.

deep-neural-networks deep-learning tensorflow keras eeg brain-computer-interface time-series-classification brain-signal-decoding common-spatial-pattern eeg-classification filter-bank

Updated Mar 14, 2019
Python

hfawaz / ijcars19

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Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

machine-learning deep-learning artificial-intelligence neural-networks research-paper time-series-classification surgical-robots

Updated Aug 21, 2019
Python

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